iied.org

The International Institute for Environment and Development is an independent policy research institute whose stated mission is to "build a fairer, more sustainable world, using evidence, action and influence in partnership with others." Its director is Dr Andrew Norton. More information...

Multilingual Wikipedia

In June 2020 the website iied.org was on the 46,662nd place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 38,306th place in June 2020. From Wikipedians' point of view, "iied.org" is the 50,179th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ynharari.com and after deepseanews.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
46,662nd place
481,346
-80,320
AR-score:
50,179th place
61,862
+191
F-score:
38,306th place
241
+4

English Wikipedia (en)

PR-score:
27,558th place
439,126
-69,607
AR-score:
26,942nd place
53,441
+58
F-score:
21,561st place
156
+2

German Wikipedia (de)

PR-score:
67,338th place
16,168
-938
AR-score:
90,252nd place
2,457
+4
F-score:
38,185th place
12
0

Russian Wikipedia (ru)

PR-score:
99,315th place
7,862
-5,647
AR-score:
108,144th place
931
0
F-score:
122,168th place
3
0

Chinese Wikipedia (zh)

PR-score:
53,194th place
6,956
+340
AR-score:
75,816th place
424
+4
F-score:
44,974th place
4
0

Spanish Wikipedia (es)

PR-score:
125,885th place
4,348
-1,746
AR-score:
182,338th place
359
0
F-score:
29,018th place
14
0

French Wikipedia (fr)

PR-score:
154,155th place
2,388
+404
AR-score:
102,263rd place
1,487
0
F-score:
45,048th place
11
0

Arabic Wikipedia (ar)

PR-score:
100,643rd place
183
-45
AR-score:
110,924th place
142
+2
F-score:
29,487th place
6
0
Show all Wikipedia languages...

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...